Jaeyoung Kang

Orcid: 0000-0003-1048-1285

Affiliations:
  • University of California, San Diego, CA, USA
  • Korea University, Seoul, Korea (former)


According to our database1, Jaeyoung Kang authored at least 18 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Proxima: Near-storage Acceleration for Graph-based Approximate Nearest Neighbor Search in 3D NAND.
CoRR, 2023

SpecHD: Hyperdimensional Computing Framework for FPGA-based Mass Spectrometry Clustering.
CoRR, 2023

HD-Bind: Encoding of Molecular Structure with Low Precision, Hyperdimensional Binary Representations.
CoRR, 2023

FSL-HD: Accelerating Few-Shot Learning on ReRAM using Hyperdimensional Computing.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2023

2022
Store-n-Learn: Classification and Clustering with Hyperdimensional Computing across Flash Hierarchy.
ACM Trans. Embed. Comput. Syst., 2022

OpenHD: A GPU-Powered Framework for Hyperdimensional Computing.
IEEE Trans. Computers, 2022

COSMO: Computing with Stochastic Numbers in Memory.
ACM J. Emerg. Technol. Comput. Syst., 2022

RelHD: A Graph-based Learning on FeFET with Hyperdimensional Computing.
Proceedings of the IEEE 40th International Conference on Computer Design, 2022

TransPIM: A Memory-based Acceleration via Software-Hardware Co-Design for Transformer.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

A near-storage framework for boosted data preprocessing of mass spectrum clustering.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

PatterNet: explore and exploit filter patterns for efficient deep neural networks.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

GENERIC: highly efficient learning engine on edge using hyperdimensional computing.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

FHDnn: communication efficient and robust federated learning for AIoT networks.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

XCelHD: An Efficient GPU-Powered Hyperdimensional Computing with Parallelized Training.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

Massively Parallel Open Modification Spectral Library Searching with Hyperdimensional Computing.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022

2021
FPGA Acceleration of Protein Back-Translation and Alignment.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

HyperRec: Efficient Recommender Systems with Hyperdimensional Computing.
Proceedings of the ASPDAC '21: 26th Asia and South Pacific Design Automation Conference, 2021

2019
Enhanced Message-Passing Based LEACH Protocol for Wireless Sensor Networks.
Sensors, 2019


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